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The use of calving behaviours and automated activity monitors to predict and detect parturition and uterine diseases in Holstein cattle Bauer, Janet Wright
Abstract
Proactive management practices during the transition period are necessary to reduce the risk and mitigate the effect of transition diseases, such as dystocia and uterine diseases, in dairy cows. The aims of this thesis were to 1) investigate the relationship between the duration of labour, calving assistance, and uterine diseases (metritis and subclinical endometritis), and 2) investigate the test performance of relative changes in activity and lying behaviour using two automated activity monitors (AAM) to predict calving time and uterine disease. Holstein cows (n = 567) were followed from 3wk before to 3wk after calving. Lying behaviour and activity were monitored continuously by the AAMs. Cameras were used to record calving time and duration and calving assistance was recorded. Metritis was diagnosed based on vaginal discharge and body temperature measured at 6 and 12DIM, while subclinical endometritis was based on cytological examination at 42 ± 3DIM. Duration of labour was estimated as time from the appearance of the amniotic sac until the calf was expelled. Within study 1, we determined that there was a quadratic relationship between metritis and duration of labour for assisted cows, where the probability of metritis was greatest at the shortest and longest durations of labour, but the lowest probability of metritis (28.2%) was at approximately 130 min. Probability of metritis in unassisted cows was not associated with duration of labour. Subclinical endometritis was not associated with the duration of labour or calving score. For study 2, a relative decrease of 44% in lying time per bout, 8 h before calving, resulted in the best performance (AUC = 0.76; Se = 67%; Sp = 77%). Distinct changes in activity and lying behaviour were observed prior to calving and within cows diagnosed with uterine disease. Although current technologies show promising results for on-farm detection of calving, they may not be a reliable method for detection of uterine disease. Future research should focus on refining the efficacy of AAMs for the use of health detection.
Item Metadata
Title |
The use of calving behaviours and automated activity monitors to predict and detect parturition and uterine diseases in Holstein cattle
|
Creator | |
Publisher |
University of British Columbia
|
Date Issued |
2020
|
Description |
Proactive management practices during the transition period are necessary to reduce the
risk and mitigate the effect of transition diseases, such as dystocia and uterine diseases, in dairy
cows. The aims of this thesis were to 1) investigate the relationship between the duration of labour,
calving assistance, and uterine diseases (metritis and subclinical endometritis), and 2) investigate
the test performance of relative changes in activity and lying behaviour using two automated
activity monitors (AAM) to predict calving time and uterine disease. Holstein cows (n = 567) were
followed from 3wk before to 3wk after calving. Lying behaviour and activity were monitored
continuously by the AAMs. Cameras were used to record calving time and duration and calving
assistance was recorded. Metritis was diagnosed based on vaginal discharge and body temperature
measured at 6 and 12DIM, while subclinical endometritis was based on cytological examination
at 42 ± 3DIM. Duration of labour was estimated as time from the appearance of the amniotic sac
until the calf was expelled. Within study 1, we determined that there was a quadratic relationship
between metritis and duration of labour for assisted cows, where the probability of metritis was
greatest at the shortest and longest durations of labour, but the lowest probability of metritis
(28.2%) was at approximately 130 min. Probability of metritis in unassisted cows was not
associated with duration of labour. Subclinical endometritis was not associated with the duration
of labour or calving score. For study 2, a relative decrease of 44% in lying time per bout, 8 h before
calving, resulted in the best performance (AUC = 0.76; Se = 67%; Sp = 77%). Distinct changes in
activity and lying behaviour were observed prior to calving and within cows diagnosed with
uterine disease. Although current technologies show promising results for on-farm detection of
calving, they may not be a reliable method for detection of uterine disease. Future research should
focus on refining the efficacy of AAMs for the use of health detection.
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Genre | |
Type | |
Language |
eng
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Date Available |
2020-06-26
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0391999
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2020-11
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Campus | |
Scholarly Level |
Graduate
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Rights URI | |
Aggregated Source Repository |
DSpace
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Rights
Attribution-NonCommercial-NoDerivatives 4.0 International